DocumentCode
984231
Title
Motion estimation using higher order statistics
Author
Sayrol, Elisa ; Gasull, Antoni ; Fonollosa, Javier R.
Author_Institution
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
Volume
5
Issue
6
fYear
1996
fDate
6/1/1996 12:00:00 AM
Firstpage
1077
Lastpage
1084
Abstract
The objective of this paper is to introduce a fourth-order cost function of the displaced frame difference (DFD) capable of estimating motion even for small regions or blocks. Using higher than second-order statistics is appropriate in case the image sequence is severely corrupted by additive Gaussian noise. Some results are presented and compared to those obtained from the mean kurtosis and the mean square error of the DFD
Keywords
Gaussian noise; higher order statistics; image segmentation; image sequences; motion estimation; additive Gaussian noise; displaced frame difference; fourth-order cost function; higher order statistics; image sequence; mean kurtosis; mean square error; motion estimation; Additive noise; Cost function; Design for disassembly; Gaussian noise; Higher order statistics; Image sequences; Integrated circuit noise; Mean square error methods; Motion estimation; Optical computing;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.503924
Filename
503924
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